Triple

T32253930
Position Surface form Disambiguated ID Type / Status
Subject William M. McCulloch E823955 entity
Predicate type of representation P21655 FINISHED
Object congressional district representation LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: congressional district representation | Statement: [William M. McCulloch, type of representation, congressional district representation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: type of representation
Context triple: [William M. McCulloch, type of representation, congressional district representation]
  • A. representationType chosen
    Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
  • B. natureOfRepresentation
    Indicates the manner or form in which something is represented or depicted in relation to something else.
  • C. representationIn
    Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
  • D. requiresRepresentationBy
    Indicates that one entity must be represented or acted for by another entity, typically in a formal, legal, or official capacity.
  • E. representsAs
    Indicates that one entity serves as a depiction, symbol, or stand-in for another entity in some representational context.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f3490db0748190bfef6e50c95d39d3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bc52a83481909b3a4a9f8181b4bd completed May 3, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69f6b632cf788190a3d0c08cd026b84b completed May 3, 2026, 2:42 a.m.
Created at: May 1, 2026, 12:41 a.m.